Urban space has been formed in historical texture of cities under the influence of meaning and shape on the onehand and qualities related to human behaviors on the other hand. Among these points, neighborhood centers as themost important areas of social life in urban open space play a critical role in attracting people and improving qualityand vitality of environment. This study presents the re...

Although spatial measures such as texture and shape extracted from very high resolution imagery (VHR) have been successfully employed in pixel-based classifications, the effectiveness of such measures in classification mainly depends on the optimal window size in which spatial measures are calculated. However, an optimal window size is usually subjective and varies for different image and diffe...

This work on texture detection was inspired by the general problem of object recognition in two dimensional still images. One of the crucial challenges associated with the object recognition is selecting and obtaining discriminative features. In analysis of real scenes, like nature or urban places, many objects contain textures, which can be considered as one of the object features. Texture det...

In Beijing, some crop field is similar to urbanized area in spectral space of ETM+ image, and this is an obstacle to extract urbanized area of Beijing from ETM+ image. Furthermore, classical texture such as variance can not improve the seperability of such two landcovers. This article proposed a skewness based framework to extract the profile of urbanized area, while skewness was seldom applied...